Lead end-to-end product delivery for complex GenAI and agentic AI engagements, from discovery through production rollout. Define product roadmaps, manage agent behavior, and communicate technical tradeoffs to executive stakeholders.
The Testing Engineer will write and maintain automated test scripts for UI, API, and integration testing while validating AI/ML model outputs and data pipelines. They will collaborate with cross-functional teams to integrate quality practices into CI/CD pipelines and ensure the reliability of AI systems.
Define platform engineering strategy and own secure, reliable, scalable cloud infrastructure across environments, including Kubernetes, infrastructure as code, DevSecOps, observability, and AI/ML platforms. Lead migrations and modernization, establish engineering standards, mentor engineers, and align platform decisions with business and delivery goals.
The role involves sourcing candidates for technical and delivery positions while managing global interview scheduling and coordination. You will collaborate with recruiters and hiring managers to maintain organized, efficient, and professional hiring processes.
The Delivery Manager leads cross-functional projects from kickoff through release, coordinating onshore and offshore teams to ensure successful delivery. They serve as the primary client contact, managing scope, budget, and timelines while proactively addressing risks and dependencies.
The Principal Product Manager will drive product vision and strategy for complex AI-driven engagements while serving as a senior advisor to client executives. They are responsible for defining delivery standards, mentoring product teams, and ensuring high-stakes digital products are successfully shipped.
You will design, build, and deploy predictive and prescriptive models to solve complex business challenges while leading end-to-end ML and GenAI projects. Additionally, you will mentor junior data scientists and collaborate with cross-functional teams to ensure scientific rigor and production-ready solutions.
You will design, build, and deploy predictive and prescriptive models to solve complex business challenges while leading end-to-end ML and GenAI projects. Additionally, you will mentor junior data scientists and communicate scientific methodologies to both technical and non-technical stakeholders.
The Principal Data Architect will define the technical direction for data platforms, including warehouses, lakehouses, and streaming systems to support AI/ML at scale. They will also partner with leadership and clients to drive data strategy, governance, and architectural standards across the organization.
Design, implement, and deploy end-to-end AI/ML models and data pipelines into production environments. Collaborate with cross-functional teams to maintain system reliability, scalability, and performance while contributing to architectural decisions.
Lead end-to-end AI and digital strategy engagements, from discovery and problem framing to roadmap creation and pilot planning. Facilitate high-impact client sessions and translate complex business needs into actionable technical requirements for cross-functional teams.
The Senior Delivery Manager owns the end-to-end execution of complex, cross-functional AI engagements from kickoff through release. They lead distributed teams, manage delivery KPIs, and serve as the primary partner to clients to ensure production-ready AI outcomes.
You will design and optimize scalable data architectures, pipelines, and governance frameworks to support enterprise-grade AI/ML systems. Additionally, you will provide technical leadership, mentor junior engineers, and collaborate with cross-functional teams to drive data platform modernization.
The Principal AI Architect will lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI/ML workloads. They will serve as the senior technical authority, defining strategy, mentoring engineers, and owning high-stakes architectural decisions.
The Principal Data Scientist will serve as the technical lead for an agentic AI program, overseeing architecture, evaluation standards, and delivery across multiple workstreams. They will partner with executive leadership to define the AI roadmap and ensure high-quality, scalable AI systems are deployed in production.
You will lead the design and delivery of agentic AI systems, including RAG pipelines and multi-agent orchestration. Additionally, you will establish engineering standards, mentor team members, and ensure the reliability and scalability of production AI applications.
Lead the design and delivery of complex, integration-heavy platforms while defining front-end architecture and technical strategy. Collaborate with cross-functional teams to integrate AI services into production systems and mentor junior engineering staff.
Design, implement, and deploy end-to-end data and AI/ML systems on AWS while maintaining production platforms for reliability and scalability. Collaborate with cross-functional teams and AWS Professional Services to integrate agentic AI into enterprise operations.
Define and lead complex AI and digital strategy engagements from discovery through delivery for major clients. Build senior-level relationships, mentor strategy team members, and contribute to the growth and evolution of the firm's strategy practice.
The Staff Security Engineer will define security architecture and standards for cloud applications and AI systems while leading threat modeling and security reviews. They will also mentor junior engineers and partner with cross-functional teams to ensure secure, reliable, and production-ready AI integrations.
You will train and operate large-scale models on Amazon SageMaker using AWS Trainium hardware. You will also optimize PyTorch training code and build cost-aware production pipelines for enterprise clients.
Define and lead platform engineering strategy across complex, multi-environment cloud systems while owning infrastructure architecture end-to-end. Drive DevSecOps, platform reliability, and the design of AI/ML infrastructure to support production-ready AI deployments.
Design end-to-end UX/UI deliverables from early concepts to high-fidelity execution while maintaining design systems. Collaborate with client product teams, engineers, and strategists to deliver intuitive AI-integrated experiences.
The AI Engineer will design, build, and scale production-grade AI systems while providing technical leadership and mentorship to the engineering team. They are responsible for defining system architectures, implementing ML pipelines, and ensuring the reliability and performance of AI platforms.
Lead the design and delivery of complex, enterprise-grade generative and agentic AI systems on AWS. Serve as a strategic technical advisor to clients while providing architectural oversight to engineering teams.
The Staff Data Engineer will define data architecture and platform strategy while leading the design of scalable data lakes, warehouses, and pipelines. They will also mentor junior engineers and collaborate with cross-functional teams to integrate AI-forward solutions into enterprise operations.
Define and execute product strategy and vision for major client engagements while driving cross-functional alignment across engineering and design teams. Lead complex discovery processes and maintain trusted advisor relationships with senior client stakeholders to ensure successful product delivery.
The Staff UX/UI Designer will define design strategy for complex multi-platform products and lead end-to-end design across major client engagements. They will also own design system architecture, drive research strategy, and mentor junior designers while championing AI-powered workflows.
You will define the technical strategy and AI architecture while leading the implementation of scalable ML platforms and LLM-powered systems. You will also mentor engineering teams and partner with leadership to drive the AI roadmap and ensure production-ready delivery.
Lead the design and implementation of complex AI/ML systems within client environments while driving solutions from research through production. Collaborate with client teams to translate business problems into scalable AI architectures and mentor junior engineers to ensure high-quality delivery.
Lead the design and implementation of complex AI/ML systems within client environments, ensuring successful delivery from research to production. Collaborate with client teams to translate business problems into scalable AI solutions while mentoring junior engineers and setting technical standards.
The Principal AI Engineering Architect will lead the design and delivery of complex, production-grade multi-agent AI systems across cloud and data platforms. They will serve as the senior technical authority, driving technical strategy while mentoring engineers and ensuring high-stakes architectural decisions align with business goals.
Lead the end-to-end design and delivery of scalable AI/ML systems and agentic architectures. Establish engineering standards and mentor junior engineers while aligning technical AI strategy with business outcomes.
Lead the end-to-end design and delivery of scalable AI/ML systems and agentic architectures. Establish engineering standards and mentor junior engineers while aligning technical direction with business outcomes.
Lead the design and delivery of enterprise-grade generative and agentic AI systems using AWS-native services. Serve as a strategic technical advisor to clients, translating business needs into scalable, secure, and production-ready AI architectures.
